LALAL.AI vs StemRoller

LALAL.AI uses AI to separate vocals and instrument stems, clean voice recordings, change or clone voices, and reduce echo and reverb. Its available stem types include vocals, instrumental, drums, bass, electric and acoustic guitar, piano, synthesizer, strings, and wind instruments. The web vocal remover accepts audio and video formats, including MP3, WAV, FLAC, MP4, and MOV. Fast Queue prioritizes processing, while Relaxed Queue processes as server capacity allows; both provide the same separation quality. Usage minutes are calculated by multiplying file length by the number of selected stem types. The desktop app supports Windows, macOS, and Ubuntu Linux, with batch processing for up to 20 files; Pro subscribers can optionally process locally offline. The API and VST plugin offer other ways to use the tools. The free Starter plan includes 10 Relaxed Queue minutes, but does not allow full downloads. Lite costs $7.50 a month billed annually.

StemRoller is a free desktop application for turning songs into karaoke, vocal, and instrumental material. Search by song title and it finds results online through YouTube search integration. Using the Demucs machine-learning project, StemRoller separates a song into four outputs: vocals, drums, bass, and everything else. It also mixes the non-vocal stems into an instrumental track. Splitting takes several minutes, and batch processing is not available. The maker describes StemRoller as open source, with the README offering either the Unlicense or MIT No Attribution license. The homepage links to a macOS ZIP and a Windows CUDA executable, version 3.1.1. Linux is not officially supported, although the README provides manual dependency setup instructions. The Free plan costs nothing and includes four stem outputs plus an instrumental track. Questions and issues can be taken to Discord.